[HTML][HTML] Quality control and class noise reduction of satellite image time series
The extensive amount of Earth observation satellite images available brings opportunities
and challenges for land mapping in global and regional scales. These large datasets have …
and challenges for land mapping in global and regional scales. These large datasets have …
Satellite image time series analysis for big earth observation data
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …
challenges. Designers need to balance between conflicting factors. Solutions that are …
Identifying spatiotemporal patterns in land use and cover samples from satellite image time series
The use of satellite image time series analysis and machine learning methods brings new
opportunities and challenges for land use and cover changes (LUCC) mapping over large …
opportunities and challenges for land use and cover changes (LUCC) mapping over large …
[PDF][PDF] Classifying Land Cover from Satellite Images Using Time Series Analytics.
The Earth's surface is continuously observed by satellites, leading to large multi-spectral
image data sets of increasing spatial resolution and temporal density. One important …
image data sets of increasing spatial resolution and temporal density. One important …
[PDF][PDF] Use of intra-annual satellite imagery time-series for land cover characterization purpose
H Carrão, P Gonçalves, M Caetano - EARSeL eProceedings, 2007 - researchgate.net
Automatic image classification often fails at separating a large number of land cover classes
that punctually may present similar spectral reflectances. To improve the classification …
that punctually may present similar spectral reflectances. To improve the classification …
dtwsat: Time-weighted dynamic time warping for satellite image time series analysis in r
The opening of large archives of satellite data such as LANDSAT, MODIS and the
SENTINELs has given researchers unprecedented access to data, allowing them to better …
SENTINELs has given researchers unprecedented access to data, allowing them to better …
Using a hidden Markov model for improving the spatial-temporal consistency of time series land cover classification
W Gong, S Fang, G Yang, M Ge - ISPRS International Journal of Geo …, 2017 - mdpi.com
Time series land cover maps play a key role in monitoring the dynamic change of land use.
To obtain classification maps with better spatial-temporal consistency and classification …
To obtain classification maps with better spatial-temporal consistency and classification …
Consistent classification of image time series with automatic adaptive signature generalization
Long-term data archives such as Landsat offer the potential for understanding land cover
dynamics over large areas, but limited progress has been made towards realizing this …
dynamics over large areas, but limited progress has been made towards realizing this …
Spatio-temporal reasoning for the classification of satellite image time series
Satellite image time series (SITS) analysis is an important domain with various applications
in land study. In the coming years, both high temporal and high spatial resolution SITS will …
in land study. In the coming years, both high temporal and high spatial resolution SITS will …
Effect of training class label noise on classification performances for land cover mapping with satellite image time series
Supervised classification systems used for land cover mapping require accurate reference
databases. These reference data come generally from different sources such as field …
databases. These reference data come generally from different sources such as field …